AROID: Improving Adversarial Robustness Through Online Instance-Wise Data Augmentation
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Lin, Qiu, Jianing, Spratling, Michael |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
by: Li, Lin, et al.
Published: (2024)
by: Li, Lin, et al.
Published: (2024)
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
by: Fontana, Maxime, et al.
Published: (2023)
by: Fontana, Maxime, et al.
Published: (2023)
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
by: Li, Lin, et al.
Published: (2023)
by: Li, Lin, et al.
Published: (2023)
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
by: Xie, Jiahao, et al.
Published: (2023)
by: Xie, Jiahao, et al.
Published: (2023)
Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)
by: Wang, Zekun, et al.
Published: (2025)
Towards Robust Protective Perturbation against DeepFake Face Swapping
by: Yao, Hengyang, et al.
Published: (2025)
by: Yao, Hengyang, et al.
Published: (2025)
Few-Shot Recognition via Stage-Wise Retrieval-Augmented Finetuning
by: Liu, Tian, et al.
Published: (2024)
by: Liu, Tian, et al.
Published: (2024)
Benchmarking the Robustness of Instance Segmentation Models
by: Dalva, Yusuf, et al.
Published: (2021)
by: Dalva, Yusuf, et al.
Published: (2021)
Improving Personalisation in Valence and Arousal Prediction using Data Augmentation
by: Nwadike, Munachiso, et al.
Published: (2024)
by: Nwadike, Munachiso, et al.
Published: (2024)
Optimizing Dense Visual Predictions Through Multi-Task Coherence and Prioritization
by: Fontana, Maxime, et al.
Published: (2024)
by: Fontana, Maxime, et al.
Published: (2024)
Adversarial Exploitation of Data Diversity Improves Visual Localization
by: Li, Sihang, et al.
Published: (2024)
by: Li, Sihang, et al.
Published: (2024)
A Comprehensive Assessment Benchmark for Rigorously Evaluating Deep Learning Image Classifiers
by: Spratling, Michael W.
Published: (2023)
by: Spratling, Michael W.
Published: (2023)
Robustness Tokens: Towards Adversarial Robustness of Transformers
by: Pulfer, Brian, et al.
Published: (2025)
by: Pulfer, Brian, et al.
Published: (2025)
On the Interaction of Compressibility and Adversarial Robustness
by: Barsbey, Melih, et al.
Published: (2025)
by: Barsbey, Melih, et al.
Published: (2025)
Language-Driven Anchors for Zero-Shot Adversarial Robustness
by: Li, Xiao, et al.
Published: (2023)
by: Li, Xiao, et al.
Published: (2023)
SF(DA)$^2$: Source-free Domain Adaptation Through the Lens of Data Augmentation
by: Hwang, Uiwon, et al.
Published: (2024)
by: Hwang, Uiwon, et al.
Published: (2024)
Data-Free Group-Wise Fully Quantized Winograd Convolution via Learnable Scales
by: Pan, Shuokai, et al.
Published: (2024)
by: Pan, Shuokai, et al.
Published: (2024)
1S-DAug: One-Shot Data Augmentation for Robust Few-Shot Generalization
by: Bai, Yunwei, et al.
Published: (2026)
by: Bai, Yunwei, et al.
Published: (2026)
Pixel-Based Similarities as an Alternative to Neural Data for Improving Convolutional Neural Network Adversarial Robustness
by: Attias, Elie, et al.
Published: (2024)
by: Attias, Elie, et al.
Published: (2024)
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
by: Fakorede, Olukorede, et al.
Published: (2024)
by: Fakorede, Olukorede, et al.
Published: (2024)
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches
by: Bai, Haoyue
Published: (2024)
by: Bai, Haoyue
Published: (2024)
InstanceDiffusion: Instance-level Control for Image Generation
by: Wang, Xudong, et al.
Published: (2024)
by: Wang, Xudong, et al.
Published: (2024)
SoftPQ: Robust Instance Segmentation Evaluation via Soft Matching and Tunable Thresholds
by: Karmakar, Ranit, et al.
Published: (2025)
by: Karmakar, Ranit, et al.
Published: (2025)
SC-MIL: Sparsely Coded Multiple Instance Learning for Whole Slide Image Classification
by: Qiu, Peijie, et al.
Published: (2023)
by: Qiu, Peijie, et al.
Published: (2023)
The Impact of Scaling Training Data on Adversarial Robustness
by: Zimmerli, Marco, et al.
Published: (2025)
by: Zimmerli, Marco, et al.
Published: (2025)
GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
by: Kim, Minsu, et al.
Published: (2025)
by: Kim, Minsu, et al.
Published: (2025)
Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
by: Guo, Ping, et al.
Published: (2024)
by: Guo, Ping, et al.
Published: (2024)
Improving the Transferability of Adversarial Examples by Inverse Knowledge Distillation
by: Wu, Wenyuan, et al.
Published: (2025)
by: Wu, Wenyuan, et al.
Published: (2025)
Face Density as a Proxy for Data Complexity: Quantifying the Hardness of Instance Count
by: Mohammadi-Seif, Abolfazl, et al.
Published: (2026)
by: Mohammadi-Seif, Abolfazl, et al.
Published: (2026)
Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning
by: Mai, Tan-Ha, et al.
Published: (2025)
by: Mai, Tan-Ha, et al.
Published: (2025)
Ctrl-A: Control-Driven Online Data Augmentation
by: Christensen, Jesper B., et al.
Published: (2026)
by: Christensen, Jesper B., et al.
Published: (2026)
Pixel-Wise Recognition for Holistic Surgical Scene Understanding
by: Ayobi, Nicolás, et al.
Published: (2024)
by: Ayobi, Nicolás, et al.
Published: (2024)
Improving Consistency Models with Generator-Augmented Flows
by: Issenhuth, Thibaut, et al.
Published: (2024)
by: Issenhuth, Thibaut, et al.
Published: (2024)
Assessing Robustness via Score-Based Adversarial Image Generation
by: Kollovieh, Marcel, et al.
Published: (2023)
by: Kollovieh, Marcel, et al.
Published: (2023)
AFD: Mitigating Feature Gap for Adversarial Robustness by Feature Disentanglement
by: Zhou, Nuoyan, et al.
Published: (2024)
by: Zhou, Nuoyan, et al.
Published: (2024)
Diverse Prototypical Ensembles Improve Robustness to Subpopulation Shift
by: To, Minh Nguyen Nhat, et al.
Published: (2025)
by: To, Minh Nguyen Nhat, et al.
Published: (2025)
PLD: A Choice-Theoretic List-Wise Knowledge Distillation
by: Bassam, Ejafa, et al.
Published: (2025)
by: Bassam, Ejafa, et al.
Published: (2025)
Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
by: Schlarmann, Christian, et al.
Published: (2024)
by: Schlarmann, Christian, et al.
Published: (2024)
Prompting Foundation Models for Zero-Shot Ship Instance Segmentation in SAR Imagery
by: Mansour, Islam, et al.
Published: (2026)
by: Mansour, Islam, et al.
Published: (2026)
Fluid Grey 2: How Well Does Generative Adversarial Network Learn Deeper Topology Structure in Architecture That Matches Images?
by: Qiu, Yayan, et al.
Published: (2025)
by: Qiu, Yayan, et al.
Published: (2025)
Similar Items
-
One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models
by: Li, Lin, et al.
Published: (2024) -
When Multi-Task Learning Meets Partial Supervision: A Computer Vision Review
by: Fontana, Maxime, et al.
Published: (2023) -
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
by: Li, Lin, et al.
Published: (2023) -
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation
by: Xie, Jiahao, et al.
Published: (2023) -
Improved Diffusion-based Generative Model with Better Adversarial Robustness
by: Wang, Zekun, et al.
Published: (2025)